August 2024 - Comp-neuro - lists.cnsorg.org

Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina 16 Dec '24

16 Dec '24

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L 11 Dec '24

11 Dec '24

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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PhD position on predictive representations / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm 17 Nov '24

17 Nov '24

We are seeking for a highly motivated PhD student to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on an MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. We're looking for applicants who: · Have a strong drive to pursue a career in scientific research · Possess independent and critical thinking skills · Excel in collaborative teamwork · Have a background in cognitive neuroscience (preferably M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab) At CIMeC, you'll have access to cutting-edge research facilities, such as: · A brand new MEGIN TRIUX neo MEG system · A 3T MRI Siemens Prisma · TMS, EEG, and combined TMS-EEG setups · Human intracranial stereotactic EEG · Eye-tracking systems · Kinematic recording systems All equipment is dedicated 100% to research purposes, providing you with the ideal environment for testing your research questions. As a member of our lab and of the wider CIMeC community, you will be part of an international community of students and researchers in a vibrant scientific environment. The working language is English. Our lab enjoys numerous international collaborations, and we offer ample opportunities to engage with the broader scientific community through conferences, workshops, and international meetings, supported by research funding attracted by our lab. Living in Trentino offers a unique combination of natural beauty and cultural richness. Situated among stunning landscapes between the Dolomites and Lake Garda, it provides a serene setting where you can appreciate nature alongside various cultural activities and sports. Trentino is undoubtedly one of the most beautiful regions in Italy, offering an exceptional quality of life alongside your academic pursuits. Deadline to apply is June 24. Find more information on CIMeC’s doctoral program here <https://www.unitn.it/drcimec/>. If you are thrilled to contribute to our research in cognitive neuroscience, please send an informal inquiry, including a CV and a brief statement of research interests, to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it>. We look forward to hearing from you! Best wishes, Moritz Wurm

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer 27 Sep '24

27 Sep '24

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu> [ http://www.hbrouwer.eu/

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Travel Awards Announced - Reminder Call for Papers: The First Workshop on NeuroAI @ NeurIPS 2024
by Forough Habibollahi 30 Aug '24

30 Aug '24

*Call** for Papers: The First Workshop on NeuroAI @ NeurIPS 2024: Fusing Neuroscience and AI for Intelligent Solutions* We are excited to announce that we are organizing the First Workshop on NeuroAI @ NeurIPS 2024, which will showcase research at the intersection of neuroscience and artificial intelligence. This workshop aims to bring together leading researchers to present their latest findings in NeuroAI. *Topics of Interest:* - Explainable and interpretable AI in neuroscience - Self-supervised systems in NeuroAI - Neuro-inspired architectures, and computations - Neuronally-plausible learning regimes - Neuro-inspired reasoning and decision-making - Cognitive functions in AI The topics above are NOT exhaustive, and we encourage the submission of research related to how principles and insights from neuroscience can lead to better artificial intelligence and vice versa. Our aim is to foster groundbreaking interdisciplinary research that advances both fields. *Submission Details:* We invite researchers in the field of NeuroAI to submit their papers to this workshop. Submissions should adhere to a page limit of *5 pages *(excluding references and supplementary materials) and must use the NeurIPS 2024 LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2024/Styles.zip>. Authors are encouraged to submit their NeurIPS main conference submissions concurrently to this workshop (excluding any completed and already published work). *Travel Awards:* The NeurIPS workshop registration fee will be covered for one student author from each of the three spotlight papers chosen by our reviewers. Additionally, one student author from the top paper will have their airfare covered. Early-career researchers are encouraged to submit their work and take advantage of this opportunity. *Important Dates:* · Submission Deadline: September 7, 2024 · Submission Portal: NeuroAI Workshop Submission Portal <https://openreview.net/group?id=NeurIPS.cc/2024/Workshop/NeuroAI> *The top 3 highly scored submissions will be chosen for spotlight talks.* *Event Details:* · Date: During NeurIPS 2024, 14 or 15 December 2024 (to be confirmed) · Location: In-person in Vancouver, Canada *Keynote Speakers:* · *Karl Friston (UCL)* · *Eva Dyer (Georgia Institute of Technology)* · *Rafal Bogacz (University of Oxford)* · *Max Welling (University of Amsterdam)* · *Ila Fiete (MIT)* *Highlight:* Our workshop will feature an in-person panel discussion between the two pioneers in AI and Neuroscience: Yoshua Bengio and Karl Friston *Enquiries:* For further information, please contact: neuroai.neurips2024(a)gmail.com For more information about the details of the workshop schedule, lineup of speakers, etc. and to stay updated, please check the workshop website: NeuroAI Workshop Website <https://neuroai-workshop.github.io/> We look forward to your submissions and to seeing you at NeurIPS 2024! On behalf of the organizing committee, *Forough Habibollahi, Moein Khajehnejad, Adeel Razi, Jason Eshraghian, Noor Sajid, Anthony Zador, Yoshua Bengio*

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ReservoirChat Beta: a Large Language Model for Reservoir Computing
by Xavier Hinaut 29 Aug '24

29 Aug '24

Hello, We are pleased to announce the launch of ReservoirChat, our new tool designed to enhance your experience with Reservoir Computing and ReservoirPy. - Expert Knowledge: Access detailed information on Reservoir Computing. - Coding Support: Suggestions to code reservoirs using ReservoirPy. - Exclusive Access: This beta version will be available for a few weeks only! ReservoirChat beta version: https://chat.reservoirpy.inria.fr/ * Use-cases examples: - Beginner: You don't know what is Reservoir Computing and why to try it? —> ReservoirChat can explain it to you! - Expert but don't know ReservoirPy —> don't need to read all the documentation, ReservoirChat will help you! We look forward to your participation in this beta phase and to your valuable feedback. Follow us on X/Twitter: https://x.com/reservoirpy Best regards, Xavier Hinaut Inria Research Scientist — www.xavierhinaut.com -- +33 5 33 51 48 01 -- https://x.com/neuronalX Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en — Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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2ND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST
by smart＠neuralcorrelate.com 29 Aug '24

29 Aug '24

**** 2ND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 19th edition of world's Best Illusion of the YearSM Contest, hosted by the Neural Correlate Society and supported again by the Museum of Illusions <https://www.museumofillusions.com/> as Platinum Sponsor!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2023) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2024 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email (illusion.contest.entries(a)outlook.com <mailto:illusion.contest.entries@outlook.com> ) until September 15th, 2024. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion <x-msg://2/championsofillusionbook.com> and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 <tel:%2B1%20718-270-4520> http://smc.neuralcorrelate.com

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PhD/postdoc positions in ML for neuroscience in Göttingen, Germany
by Ecker, Alexander 26 Aug '24

26 Aug '24

We have several open positions for postdocs or PhD students in the Neural Data Science Lab (https://eckerlab.org) at the Campus Institute Data Science (University of Göttingen) and the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Our lab is part of a large collaborative network with partners in the US and Germany. The projects are funded by the European Research Council through an ERC Starting Grant and in tight collaboration with Andreas Tolias' lab at Stanford. Regular visits at Stanford are possible and encouraged. If you want to work with us on exciting projects developing machine learning methods for neuroscience, please check out the short project descriptions below and apply now. Details can also be found on our website: https://eckerlab.org/applications/ Application documents including a short motivation letter, CV, transcript of records (PhD students) and the contact details of two references should be sent to Alexander Ecker: ecker(a)cs.uni-goettingen.de We value diversity and equality. We therefore particularly encourage international and female applicants as well as applications from underrepresented groups or candidates with disabilities. ============ *A foundation model of the brain* The Enigma Project @stanford is a large-scale, interdisciplinary initiative dedicated to building a foundation model of the brain at single-neuron resolution. Combining large-scale electrophysiology and naturalistic experiments with modern, multi-modal deep learning, Enigma aims to uncover core principles of neural representation and intelligence – starting with our richest sense: the visual system. Our lab in Göttingen has pioneered large-scale predictive models of the visual system and will continue to develop the next generation of predictive models with a focus on using them to gain insights into brain function. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. ============ *Data-driven multi-modal discovery of cell types in the neocortex* Understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience. In this project, we develop deep learning methods for data-driven identification of excitatory cell types in the visual cortex and to understand how a neuron’s morphology relates to its function. We will harness a unique large-scale functional anatomy dataset: a combination of electron-microscopy reconstructions at sub-micrometer resolution with two-photon functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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Postdoctoral position for the development of large-scale electrophysiological data management infrastructure
by Paul Cisek 26 Aug '24

26 Aug '24

Postdoctoral position for the development of large-scale electrophysiological data management infrastructure 2-year position: $62,500/year plus benefits (~ total $75,000/year) This salary is guaranteed by a partnership between the Department of Neurosciences (https://neurosciences.umontreal.ca<https://neurosciences.umontreal.ca/>), the Faculty of Medicine of the Université de Montréal (https://medecine.umontreal.ca<https://medecine.umontreal.ca/>) and IVADO (https://ivado.ca<https://ivado.ca/>), an interdisciplinary, cross-sectoral research, training and knowledge mobilization consortium whose mission is to develop and promote a robust, reasoning and responsible AI. Requirements: The applicant should hold a PhD (e.g. electrical or biomedical engineering, neurosciences, or complementary field) and have research expertise in system neuroscience, programming, and data processing and analyses. Major advances in electrophysiological recording technologies have led to an explosion in the size of datasets, as well as new challenges in processing and managing them. In particular, the advent of wireless large-scale neurophysiology and deep-learning-based pose estimation enables us to study new scientific questions on complex, unconstrained behaviors. As the pace at which we acquire data has accelerated exponentially in recent years, there is an urgent need for efficient automated pipelines to process raw data from labs into analysis-ready datasets. To address these challenges, several research groups at the department of neuroscience (P. Cisek, N. Dancause, B. Ebitz, A. Green, M. Perich) aim to develop and deploy automated approaches to process signals recorded in our labs into analysis-ready datasets; 2) create a unified data storage and management framework to facilitate data sharing and collaborative, neuro-AI, analyses. These goals are closely aligned with those of the Union Neuroscience et Intelligence artificielle Quebec (UNIQUE; https://www.unique.quebec<https://www.unique.quebec/>) center, the strategic research cluster of the Fonds de Recherche du Quebec - Nature et Technologie (FRQ-NT), IVADO and the Quebec Artificial Intelligence Institute (Mila; https://mila.quebec<https://mila.quebec/>). The main objective of the present position is to develop and deploy automated approaches to process signals from the labs into analysis-ready datasets. The postdoctoral trainee will design and develop automated processing pipelines, from raw data collected in the labs to analysis-ready state, for each type of data collected. The pipeline must adapt and enhance our current tools implemented in Matlab, R or Python. This includes incorporating automated spike sorting tools such as MountainSort, KiloSort, and Full Binary Pursuit, handling local field potential signals with software like Chronux and FieldTrip, as well as creating user interfaces. The postdoctoral trainee will be responsible for creating Standard Operating Procedures and lead user training. This position is a great opportunity for a postdoctoral trainee seeking training at the intersection of academia and industry. The candidate should have adequate training in disciplines such as engineering, data sciences, machine-learning or neurosciences. The postdoctoral trainee will advance cutting-edge platforms for large-scale behavioral and neurophysiology experiments shared by several research groups on campus at the Université de Montréal. They will participate in the advancement of open source in neuroscience. The position will include working with unique electrophysiological datasets that from ongoing scientific projects of one or more of the participating research labs. These data will provide opportunities to develop novel or high-dimensional analytical tools that could lead to authorship on additional publications. For application: Please send a short cover letter, resume and the names of 3 references to: Numa Dancause, BSc(PT), PhD Professor, Associate Director Département de Neurosciences Université de Montréal Email: marlene.boutet(a)umontreal.ca<mailto:marlene.boutet@umontreal.ca> Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

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TEDx Talk on the Ethics of Artificial Intelligence
by steven gouveia 25 Aug '24

25 Aug '24

Dear colleagues, The TEDx Talk "Art, sex, and medicine: 3 ethical dilemmas for AI" is now available at the official channel of TEDx! You can check it here: https://www.youtube.com/watch?v=78-Zks_NcKE<https://www.youtube.com/watch?v=78-Zks_NcKE&fbclid=IwZXh0bgNhZW0CMTAAAR0YuL…>. You can use it to introduce some ethical reflections on Artificial Intelligence with your students and colleagues. Sincerely, Steven S. Gouveia Research Fellow at Mind, Language & Action Group (Uni. Porto, PT) https://trustaimedicine.weebly.com/ Honorary Professor, Faculty of Medicine (Uni. Andrés Bello, Chile) https://stevensgouveia.weebly.com<https://stevensgouveia.weebly.com/> (Books, papers, talks, etc) 1. *Novo livro: (PT) Odisseia da Mente (w/ Penrose, Chalmers, Seth, etc)* 2. *New Book: (ENG) Predictive Minds (ed.)*

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